Trained Model definition

Trained Model means the AI Model as modified following Training, including associated weights.

Trained Model means a Model that has processed or otherwise ingested Dataset(s) through a training and refinement procedure;

Trained Model means a customized version of Deepgram’s proprietary model for automated speech recognition for Customer’s use with the Software during the Subscription Term.

Examples of Trained Model in a sentence

• No person or entity who is not a party to this Agreement will have the right to enforce any provision of this Agreement[, except that third party users of the Trained Model are third-party beneficiaries of Section 4(b)].

• Benchmark: To access the Data, use the Data as training data to evaluate the ef- ficiency of different Untrained Models, algorithms and structures, but excludes reuse of the Trained Model, except to show the results of the Training.

• Overlaid curves are the 1D time shifts extracted from the 3D time shifts u(x, y, tpp) at the corresponding trace location.

• Research: To access the Data, use the Data to create or improve Models, but with- out the right to use the Output or resulting Trained Model for any purpose other than evaluating the Model Research under the same terms.

• Comment: Generally, this section includes clauses that protect the Data User’s ability to use the Trained Model.

• Trained Model Inferencing – The trained intelligence engines are deployed as applications in the edge platform (e.g., EFS Application).

• Figure 3- Result of Trained Model According to table 1, the highest accuracy is 98.37% and the lowest is 81.85%.

• When a model is outputted in Figure 6.3(a), it is used as the "Trained Model" in Figure 6.3(a) on the input dataset Su, composed by the profile data and gameplay data of a user u.

• As mentioned in Deliverable D5.2 REST APIs, Tutorials and Code Samples, integration of Cognitive Network Optimizer (CNO) in the SDK includes the configuration of CNO Training and Deploying the Trained Model to the SVP.

• Shown Are The Results For Testing With The Training Data On The Model After Training (With The Same Data) And Results When Validating The Trained Model With The Prediction Dataset.

More Definitions of Trained Model

Trained Model means a Model that is exposed to Data such that its weights, parameters and architecture embody insights from the Data.

Trained Model means any machine learning model, structure, or artifact produced or built from Customer Data that can be used to make data-driven predictions and decisions. Trained Models do not include Customer Data.

Trained Model means a custom model, based on Company's base model(s), which has been trained or otherwise generated by or for Customer in connection with this Agreement and/or the Third Party Platform, based on one or more datasets provided by or on behalf of Customer. Update" means an upgrade or update (such as a fix or patch) to or of AI21 Models. Usage Statistics" means any non-Customer-identifying information, data, reporting, suggestions, analyses, and/or intelligence relating to the operation, support, and/or Customer’s use, of AI21 Models and/or Model Output (such as metadata such as processing time and length of text, aggregated data, analytics, as well as parameters relating to the use of AI21 Models such as number of results requested from AI21 Models).